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DeepSeek-V2.5
About DeepSeek-V2.5
DeepSeek-V2.5 is an AI model developed by DeepSeek, in the language category, released in 2024, made available as an open-weights model with 236B params.
On this page you'll find DeepSeek-V2.5's full specifications, including 7 benchmark results. Review provider pricing and benchmark scores below, or compare DeepSeek-V2.5 head-to-head with other language models.
Links
Run DeepSeek-V2.5 locally — what to buy
Share this build ↗Sized to what DeepSeek-V2.5 actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
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DeepSeek-V2.5 benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 89% | python-from-hf-readme |
| LiveCodeBench | code | 41.8% | jan-sep-2024-from-hf-readme |
| SWE-bench Verified | code | 16.8% | from-hf-readme |
| Aider Benchmark | coding | 72.2 | from-hf-readme |
| AlignBench v1.1 | general | 8.04 | from-hf-readme |
| AlpacaEval 2 | general | 50.5% | from-hf-readme |
| ArenaHard | general | 76.2% | from-hf-readme |
More models like DeepSeek-V2.5
Frequently asked questions
What is DeepSeek-V2.5? ▶
DeepSeek-V2.5 is an AI model developed by DeepSeek, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DeepSeek-V2.5? ▶
DeepSeek-V2.5 was developed by DeepSeek and released in 2024.
Is DeepSeek-V2.5 open source or proprietary? ▶
DeepSeek-V2.5 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does DeepSeek-V2.5 cost? ▶
Pricing for DeepSeek-V2.5 depends on the provider. See the providers table on this page for the latest API rates.
How does DeepSeek-V2.5 perform on benchmarks? ▶
DeepSeek-V2.5 is benchmarked across 7 evaluations on GenAIList, including HumanEval (89%). See the full benchmark table below and compare it with other models.
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